Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens | Qwen
Tech Report HuggingFace ModelScope Qwen Chat HuggingFace Demo ModelScope Demo DISCORD Introduction Two months after upgrading Qwen2.5-Turbo to support context length up to one million tokens, we are back with the open-source Qwen2.5-1M models and the corresponding inference framework support. Here’s what you can expect from this release: Opensource Models: We’re releasing two new checkpoints, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, marking the first time we’ve upgraded our opensource Qwen models to handle 1M-token contexts.
1M context length AI Model Qwen 2.5 is here - YouTube
Two months after upgrading Qwen2.5-Turbo to support context length up to one million tokens, we are back with the open-source Qwen2.5-1M models and the corre...
In an era where time series data is increasingly crucial, whether in finance, weather forecasting, or supply chain management, the ability to accurately predict the future is paramount. TIMEMIXER, a novel approach presented in recent research, has revolutionized how we approach time series forecasting. By employing decomposable multiscale mixing, TIMEMIXER can effectively capture the complex patterns of data and provide more accurate predictions than traditional methods. This article delves into the details of TIMEMIXER, its core architecture, how it works, and the significance of its application in time series data analysis.
In a world where Artificial Intelligence (AI) technology is rapidly advancing, Real-Time Object Detection has become a cornerstone for many industries, from autonomous driving to security and healthcare. YOLO (You Only Look Once) is a familiar name in this field, and recently, YOLOv10 has been released, marking a noteworthy development with significant improvements in efficiency and accuracy. This article will take you deep into the details of YOLOv10, from the underlying concepts to real-world applications, while also analyzing potential issues and solutions to ensure you fully understand the potential of this technology.
